code: def test_sp_batch_to_sp_tensor():
      a_batch = [sp.random(N, N) for _ in range(batch_size)]
      a_out = sp_batch_to_sp_tensor(a_batch)
      assert a_out.shape == (batch_size, N, N)
  
imports: import numpy
  import scipy.sparse
  import tensorflow
  from spektral.data.utils import to_disjoint
  from spektral.layers import ops
  from spektral.utils import convolution
  from spektral.utils.sparse import sp_batch_to_sp_tensor, sp_matrix_to_sp_tensor
label_desc: Use image node_id 23 for calling a global function with example usage: test_sp_batch_to_sp_tensor() without return types